Molecular subtyping of cancer based on robust graph neural network and multi-omics data integration

HIGHLIGHTS

• who: Multi-Omics Data Integration et al. from the School of Artificial Intelligence, Jilin University, Changchun, China, Department of Medical Oncology, the First Hospital of China have published the research work: Molecular Subtyping of Cancer Based on Robust Graph Neural Network and Multi-Omics Data Integration, in the Journal: (JOURNAL)
• what: The authors propose a novel and general framework M-GCN for molecular subtyping of cancer. The authors implement M-GCN using the deep learning framework of PyTorch and train 500 epochs for M-GCN with a learning rate of 0.0001.
• how . . .
  

   

  

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